This paper studies the discretization of gas transport in pipeline networks by an inexact Petrov-Galerkin method. A full convergence analysis is presented for single pipes under the assumption of a linear friction law...
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This paper studies the discretization of gas transport in pipeline networks by an inexact Petrov-Galerkin method. A full convergence analysis is presented for single pipes under the assumption of a linear friction law...
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Performance-analysis tools are indispensable for understanding and optimizing the behavior of parallel programs running on increasingly powerful supercomputers. However, with size and complexity of hardware and softwa...
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ISBN:
(纸本)9781450340137
Performance-analysis tools are indispensable for understanding and optimizing the behavior of parallel programs running on increasingly powerful supercomputers. However, with size and complexity of hardware and software on the rise, performance data sets are becoming so voluminous that their analysis poses serious challenges. In particular, the search space that must be traversed and the number of individual performance views that must be explored to identify phenomena of interest becomes too large. To mitigate this problem, we use visual analytics. Specifically, we accelerate the analysis of performance profiles by automatically identifying (1) relevant and (2) similar data subsets and their performance views. We focus on views of the virtual-process topology, showing that their relevance can be well captured with visual-quality metrics and that they can be further assigned to topical groups according to their visual features. A case study demonstrates that our approach helps reduce the search space by up to 80%. Copyright 2015 ACM.
The agility of cognitive radio user can be improved by implementing collaborative spectrum sensing which is based on sequential detection. The main purpose of the paper is to compare performances of collaborative spec...
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ISBN:
(纸本)9781467349901
The agility of cognitive radio user can be improved by implementing collaborative spectrum sensing which is based on sequential detection. The main purpose of the paper is to compare performances of collaborative spectrum sensing using sequential detection under unlimited (soft decision) and limited (hard decision) control channel bandwidth. We use the average sample number (ASN) and the operating characteristics (0C) function as the performance measures. In addition to having much less control channel bandwidth, the simulations results show that the ASNs and OC functions of collaborative sequential detection with hard decision is still comparable to collaborative sequential detection with soft decision.
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